ICLR

Who and what this show talks about

The people, companies, books and ideas that recur across 12 analyzed episodes.

• Natural Images (Concept, 2 episodes)
• MNIST (Concept, 2 episodes)
• Wikipedia (Location, 2 episodes)
• Basal Ganglia (Concept)
• Temporal Difference Learning (Concept)
• Theodore Djony (Person)
• Paul Glimer (Person)
• Toby Delbrook (Person)
• Bob DeSimone (Person)
• Ken Wilson (Person)
• Precision (Concept)
• Recall (Concept)
• Hippocampus (Concept)
• Dylan Gabriel (Person)
• Helmholtz Machine (Concept)
• KL divergence (Concept)
• Andrew McCallum (Person)
• LDA (Concept)
• Local low dimensionality (Concept)
• Oriented band pass filters (Concept)

Mentioned together

• Gaussian word embedding model and KL divergence: part of
• Helmholtz Machine and Variational Autoencoders: part of
• Nuclear norm and Local low dimensionality: part of
• Heavy tails and Statistical observations: part of
• Fourier space and Oriented band pass filters: part of
• Synthesis procedure and Local covariance matrices: part of
• Helmholtz Machine and MNIST: part of
• GTM and CRF: competes with
• Gaussian word embedding model and Wikipedia: located in

Recent Episodes

• ICLR2015-olivier-henaff
• ICLR2015-joerg-bornschein
• ICLR2015-terry-sejnowski-part1
• ICLR2015-luke-vilnis
• ICLR14: O Alsharif: End-to-End Text Recognition with Hybrid HMM Maxout Models
• ICLR14: J Masci: Sparse similarity-preserving hashing
• ICLR14: G Dulac-Arnold: Sequentially Generated Instance-Dependent Image Representations...
• ICLR14: P Sprechmann (for Qiang Qiu): Learning Transformations for Classification Forests
• ICLR14: P Sermanet: OverFeat: Integrated Recognition, Localization and Detection using ConvNets
• ICLR14: V Jain: Learned versus Hand-Designed Feature Representations for 3D Agglomeration
• ICLR14 Workshop: A Szlam: Unsupervised Feature Learning by Deep Sparse Coding
• ICLR14: KM Herman: A Simple Model for Learning Multilingual...